Vetted Serverless Computing Professionals

Pre-screened and vetted.

AP

Mid-level Software Engineer specializing in FinTech payments and compliance systems

San Francisco, CA6y exp
StripeUniversity of Memphis
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AF

Senior Client-Facing Solutions Engineer specializing in AdTech and AI integrations

New York, NY12y exp
EX.COStony Brook University
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SR

Mid-level Software Engineer specializing in distributed systems and full-stack web applications

Seattle, WA6y exp
AmazonUniversity of Alabama at Birmingham
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AB

Senior Full-Stack Engineer specializing in event-driven systems for FinTech and Healthcare

New York, USA4y exp
American ExpressBinghamton University
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ZM

Senior Backend Engineer specializing in cloud-native microservices and real-time streaming

Boston, MA13y exp
Function HealthCornell University
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OA

Mid-level Full-Stack Engineer specializing in cloud-native FinTech systems

Dallas, TX3y exp
AmazonValparaiso University
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NS

Mid-Level Software Engineer specializing in cloud-native systems, automation, and LLM-enabled robotics

Sunnyvale, CA6y exp
AmazonIndiana University Bloomington

React-focused engineer who built a full-stack analytics/test-metrics dashboard (React frontend + Python backend) and turned common UI pieces (data tables, filter panels, chart wrappers) into a reusable internal component library with docs, examples, and basic tests. Strong on profiling-driven performance optimization (React Profiler, memoization) and on owning ambiguous internal-tool projects end-to-end; now planning to package internal patterns into public open-source components.

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Akanksha Agrawal - Mid-Level Full-Stack Software Engineer specializing in event-driven data platforms in Bangalore, India

Mid-Level Full-Stack Software Engineer specializing in event-driven data platforms

Bangalore, India5y exp
SAPUniversity of Illinois Urbana-Champaign

Backend engineer with SAP experience modernizing a legacy Flask/PostgreSQL product master data platform into a modular, stateless, containerized service with Kafka-based background processing and improved observability. Also has hands-on academic/side-project experience operationalizing ML (NLP retrieval with TF-IDF/BERT via FastAPI and CV lane-edge detection inference APIs using PyTorch).

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Melbourne Brown - Senior Software Engineer specializing in AI-driven cloud-native platforms in Atlanta, GA

Senior Software Engineer specializing in AI-driven cloud-native platforms

Atlanta, GA12y exp
McKinsey & CompanyKennesaw State University

Engineer with unusual breadth: from a tiny startup building racehorse medical-record systems on credit-card chips for live racetrack demos to modern AI-powered contract intelligence platforms in production. Brings hands-on full-stack and backend depth across React, Python, .NET, PostgreSQL, Kubernetes, and Azure, with a track record of making complex, reliability-sensitive systems work in real-world conditions.

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Sunil Chinthaparthi - Senior Software Engineer specializing in cloud-native backend and distributed systems in New York, NY

Senior Software Engineer specializing in cloud-native backend and distributed systems

New York, NY4y exp
Best BuyPace University

Backend engineer focused on Python/FastAPI microservices running on Kubernetes (AWS EKS) with strong GitOps/CI/CD ownership (GitHub Actions + ArgoCD). Demonstrated measurable performance wins (p95 latency cut from >1s to <200ms) and production reliability work across Kafka/Redis streaming and cloud-to-on-prem migrations (RDS/S3 to Postgres/MinIO) using parallel validation and checksum-based consistency checks.

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SR

Mid-Level Software Engineer specializing in AWS cloud services and microservices

Seattle, Washington4y exp
AmazonArizona State University

Software engineer with primary experience in Java and Python who also troubleshoots and optimizes JavaScript/React performance issues. Has handled customer-reported production problems via log-driven diagnosis and backend workflow fixes, and took ownership of simplifying and automating a service region-expansion process through time analysis and process documentation.

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LL

Lisa Li

Screened

Director-level Engineering Leader specializing in SaaS, Cloud, and AI/ML delivery

Katy, Texas19y exp
Sainsbury'sThe Open University

Engineering leader who has led 100+ engineers at Sainsbury’s Tech and previously scaled an org from 6 to 60+ at AND Digital. Drove a high-impact modernization of a pricing/decisioning platform serving 1,700 stores—moving from batch monolith to real-time Kafka-based event-driven microservices with MLOps, IaC (Terraform), and zero-trust—delivering £18m+ annual profit uplift and 10+ deploys/day.

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KL

Kevin Lim

Screened

Intern Software Engineer specializing in data science and machine learning

Remote2y exp
StylistGemUC Berkeley

Backend engineer with hands-on experience building Flask REST APIs (auth, CRUD, S3 media uploads) and driving measurable Postgres/SQLAlchemy performance gains (p95 reduced to 200–400ms by eliminating N+1s and switching to keyset pagination). Implemented multi-tenant isolation with strict tenant scoping plus Postgres RLS, and built an OpenAI-powered quiz generation pipeline using queued workers, structured JSON outputs, and Celery/Redis optimizations to stabilize high-throughput workloads.

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Mos Fard - Senior Distributed Systems Architect specializing in backend platforms and FinTech in Scottsdale, AZ

Mos Fard

Screened

Senior Distributed Systems Architect specializing in backend platforms and FinTech

Scottsdale, AZ12y exp
PayPalArizona State University

Full-stack engineer who built an AI-powered visual product discovery feature end to end across web, mobile, backend, and ML integration. Particularly strong in TypeScript-first monorepo architecture, serverless AWS microservices, and productionizing computer vision/LLM pipelines with monitoring, prompt refinement, and human-in-the-loop quality controls.

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HR

Mid-level Software Engineer specializing in cloud, backend, and healthcare systems

Virginia, USA5y exp
Amazon Web ServicesUniversity of Maryland, Baltimore County

Full-stack engineer with hands-on ownership of a customer-facing advanced performance metrics experience in the Amazon S3 console, spanning React UI, Python/Node services, Redshift/RDS data access, and AWS IaC/CI-CD with CloudWatch/Route53 operational readiness. Demonstrates strong production instincts around resilience (partial failures, multi-region inconsistencies), progressive rollouts/feature flags, and reliable ETL/integration patterns (idempotency, backfills, reconciliation).

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AK

Akshay Koneti

Screened

Mid-Level Full-Stack Software Engineer specializing in AWS cloud and microservices

Dallas, TX6y exp
AmazonUniversity of North Texas

Backend/LLM engineer who built a production-critical Amazon Bedrock + RAG correction and compliance layer for employee communications, integrating tightly with existing Spring Boot/AWS microservices to reduce manual review while keeping outputs explainable and auditable. Also designed an event-driven system processing 10M+ events/day (SQS/Lambda/DynamoDB/Elasticsearch) and handled on-call incidents with strong observability and reliability patterns (idempotency, retries, hotspot mitigation).

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SS

Mid-Level Full-Stack Java Developer specializing in cloud-native microservices

4y exp
Goldman SachsIndiana Wesleyan University

Full-stack developer who built a learning management web app end-to-end using React, Spring Boot, and MySQL, integrating APIs via Axios and validating/testing with Postman. Has experience handling data-heavy workloads (courses, quiz results) and improving performance with pagination, and is comfortable designing microservice-style endpoints with CI/CD considerations.

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SP

Mid-level Full-Stack Developer specializing in FinTech and payments

USA3y exp
Fidelity InvestmentsKent State University

Backend/platform engineer with experience at Fidelity and PayPal, spanning financial systems, payment pipelines, and regulated AI workflows. They’ve owned large-scale deployments end-to-end, including a brokerage platform for 150,000+ accounts, and have hands-on experience integrating OpenAI into internal research tooling with compliance-safe validation and human review.

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Prashant Kumar - Mid-level Full-Stack Software Engineer specializing in cloud and GenAI applications in USA

Mid-level Full-Stack Software Engineer specializing in cloud and GenAI applications

USA6y exp
JPMorgan ChaseUniversity at Buffalo
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Thomas Lee - Staff Software Engineer specializing in Healthcare Platforms and Observability in Indianapolis, IN

Staff Software Engineer specializing in Healthcare Platforms and Observability

Indianapolis, IN11y exp
Elevance HealthRider University
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